BIDI_ML_INFO_EXTRACTION/BiddingKG/dl/projectCode/handlabel/getDatas.py

import os
import pandas as pd
import pickle
import psycopg2
conn = psycopg2.connect(dbname="BiddingKG",user="postgres",password="postgres",host="192.168.2.101")
cursor = conn.cursor()

def load(path):
    '''
    读取对象
    @Arugs:
        path: 读取的路径

    @Return:
        读取的对象
    '''
    with open(path, 'rb') as f:
        object = pickle.load(f)
        return object
    
for file in os.listdir("."):
    if file[-2:]=="pk":
        #if file[-9:-6] in ["l0.","l1.","l2.","l8."]:
        df = load("./"+file)
        for i in range(len(df)):
            if df.loc[i]['projectcode']!="" or df.loc[i]['projectname']!="":
                sql = " insert into project(doc_id,projectCode,projectName) values('"+df.loc[i]['doc_id']+"','"+df.loc[i]['projectcode']+"','"+df.loc[i]['projectname']+"')"
                #print(sql)
                print(file,i)
                cursor.execute(sql)
conn.commit()
conn.close()